Gene Expression Profiling Identifies C/EBPδ as a Candidate Regulator of Endotoxin-induced Disseminated Intravascular Coagulation
Bibliographic record
Abstract
RATIONALE: A runaway inflammatory response to systemic infection or severe trauma is characterized by the activation of a diversity of pathways, ultimately resulting in the development of disseminated intravascular coagulation (DIC) and multiorgan failure. OBJECTIVES: Despite increased fundamental knowledge of the pathogenesis of DIC, the exact molecular mechanisms remain elusive. We aimed therefore to improve our understanding of the molecular pathways underlying endotoxin-induced DIC. METHODS: We performed large-scale gene expression profiling in the liver of mice during the onset of endotoxin-induced DIC. The relevance of an identified candidate gene involved in endotoxin-induced DIC was subsequently assessed in the generalized Shwartzman reaction. MEASUREMENTS AND MAIN RESULTS: Approximately 5% of over 20,000 genes were differentially regulated. In addition to well-established sepsis-associated genes, such as macrophage inflammatory protein 1, plasminogen activator inhibitor 1, CD14, and A20, we identified several novel candidates for inflammatory disease of which the transcription factor C/EBPdelta (CAAT/enhancer binding protein delta) was studied further. Induction of DIC in C/EBPdelta-deficient mice decreased endotoxin-induced systemic inflammation as compared with wild-type mice, as evident from decreased plasma levels of tumor necrosis factor-alpha and IL-6. In addition, C/EBPdelta deficiency partly protected against DIC-induced mortality. Interestingly, C/EBPdelta deficiency seemed mainly protective by improving renal function. This latter notion was confirmed in an experimental model of renal ischemia/reperfusion injury in which C/EBPdelta deficiency reduced ischemia/reperfusion-induced creatinine and urea levels. CONCLUSIONS: Our results endorse the usefulness of gene expression profiling in identifying novel mediators of DIC by showing that C/EBPdelta regulates specific pathologic features of this endotoxin-induced syndrome.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".